Data Analytics Manager

Roles and responsibilities

Job Purpose

• Develop the product visioneering process, guiding the team through product ideation and development.
• Develop the end-to-end product development and improvement process, ensuring alignment with strategic objectives.
• Conduct in-depth market research to identify trends and opportunities, translating findings into technical requirements and product features.
  
  

Roles And Responsibilities

• Act as a liaison between business teams and technical experts, identifying business problems and translating them into data product and solution requirements.
• Transform overall strategy and market research insights into a clear vision and roadmap for the delivery of data solutions.
• Develop and validate the roadmap, ensuring that the developed solutions align with business objectives.
• Drive the execution of product lifecycle processes, including prioritizing product features and overseeing agile project delivery.
• Take ownership of data products and solutions, championing them to internal stakeholders and promoting their adoption within the organization.
• Continuously validate the outputs of data products and solutions and maintain a high adoption rate among business teams.
• Foster a growth mindset to enhance and improve data products and solutions over time.
• Provide training on data products and solutions to relevant stakeholders across different levels within the organization, from technical teams to C-level executives.
• Iterate and refine each product before release, aiming for continuous improvement.
• Develop and maintain tracking and reporting mechanisms to assess product performance post-launch and inform future investment decisions.
• Lead the product functional design process, leveraging an in-depth understanding of user needs and technology capabilities.
• Manage and prioritize items in the product backlog, ensuring that development efforts align with strategic objectives.
• Continuously enhance existing features to surpass industry benchmarks and deliver superior solutions.
  
  

Qualification And Experience

• Bachelor’s degree in engineering or business management with technology focus

Desired candidate profile

RELATED YEAR OF EXPERIENCE:

• Minimum of 8+ minimum years of experience in similar positions focused on developing data products / solutions with growth mindset
  
  

Technical And Interpersonal Skills

• Experience in agile methodology delivery, including Kanban / Scrum
• Experience in prototyping and wireframing tools
• Experience leading data-centered analyses (E.g., Analytics, ML/AI)
• Experience in successful product delivery with high-adoption rate from end users
• Experience translating strategy and market research into a clear vision and roadmap for solutions delivery
• Experience facilitating working sessions between different groups of stakeholders
• Basic understanding of data science and machine learning models and tech stack
• Excellent written and verbal communication skills leveraged to interface with business stakeholders and technical delivery resources
• Relevant industry and application domain knowledge, experience in Real Estate business is a plus